Job Information
Meta Platforms, Inc. Data Engineer, GMS in New York, New York
Company: META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Data Engineer, GMSJob Code: REQ-2405-137277Job Location: New York, New YorkJob Type: Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $209,720/year to $235,400/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits.Duties:Design and develop creative and innovative solutions to manipulate and transform data coming from diverse domains and components, such as advertisements and pages, as well as other custom software systems and databases. Design, architect, and develop data solutions that help product and business teams make data-driven decisions. Lead data solution design efforts from beginning to end, as well as processes for the development and implementation of data integration for external insights, and work on Data Warehouse and Operational Data Store. Provide insights that influence the overall strategy and plan for the framework and construction of a scalable data solution and data warehouse environment. Leverage a homegrown Extract, Transform, Load (ETL) framework as well as off-the-shelf ETL tools, as appropriate. Collaborate with data infrastructure and engineering teams to build and extend cross-platformETL and reports generation frameworks. Provide consultation to business partners including analysts, managers, end users, and developers to clarify work objectives, determine project scope, obtain consensus, identify problems, and recommend solutions. Support end users on ad hoc data usage and serve as subject matter experts on functional matters. Develop ETL using Python, Pen PHP, or similar technologies. Work with ETL techniques and best practices to manage extremely large volumes of data. Work with Data warehousing architecture and data modeling best practices; Hadoop, HBase, and Hive; File Systems, server architectures, and distributed systems; and MicroStrategy or other similar Business Intelligence (BI) reporting solutions. Work with database programming and performance tuning techniques.Requirements:Requires a Master's degree in Computer Science, Computer Engineering, Information Systems, Mathematics, or a related field and two years of work experience in the job offered or in an operations automation or computer-related occupation.Requires two years of experience in the following:1. Data warehouse space, custom ETL design, implementation, and maintenance;2. DSQL and development experience in at least one language: Java, C++, Perl, PHP, or Python;3. Data architecture, data modeling, schema design, and software development;4. Leading data-driven projects from definition through interpretation and execution;5. Large data sets, Hadoop, and data visualization tools;6. Initiating and driving projects, and communicating data warehouse plans to internal clients/stakeholders.
Minimum Salary: 209,720 Maximum Salary: 235,400 Salary Unit: Yearly